Static IVRs to Agentic Voice AI - Building Real-Time Intelligent Conversations
MLOps World: Machine Learning in Production via YouTube
Overview
Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it
Learn how to transform static Interactive Voice Response (IVR) systems into intelligent, real-time conversational AI agents in this conference talk from MLOps World GenAI Summit 2025. Discover the fundamentals of agentic architecture for voice applications and explore how multiple specialized agents can collaborate to understand context, reason dynamically, and leverage memory for seamless voice AI experiences. Master practical strategies for reducing speech latency and improving system responsiveness while learning techniques to integrate memory and contextual reasoning into voice AI systems. Understand how to orchestrate specialized agents for dynamic, natural conversations that move beyond pre-scripted menus toward human-like interactions. Gain insights into design principles, architecture patterns, latency optimization, and conversational flow orchestration essential for building the next generation of voice-driven AI systems. Explore the complete roadmap for evolving traditional IVRs into fully autonomous, intelligent voice agents that deliver superior user experiences through optimized speech processing and dynamic conversation management.
Syllabus
Static IVRs to Agentic Voice AI: Building Real-Time Intelligent Conversations | Pablo Salvador
Taught by
MLOps World: Machine Learning in Production